Multicriteria fuzzy decision-making method using entropy weights-based correlation coefficients of interval-valued intuitionistic fuzzy sets

By Jun Ye. 2010

327 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6e6622f709dcc6b5563c47f090120b8e5d53b8c2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Zeshui Xu
2. Meimei Xia
3. Na Chen
4. Omer Tatari
5. Gokhan Egilmez
6. Serkan Gumus
7. Murat Kucukvar
8. David A. Wood

In Management Science and Operations Research

1. Na Chen
2. Meimei Xia
3. Zeshui Xu
4. Murat Kucukvar
5. Omer Tatari
6. Gokhan Egilmez
7. Serkan Gumus
8. Bahram Farhadinia

In Statistics and Probability

1. Meimei Xia
2. Zeshui Xu
3. Na Chen
4. Omer Tatari
5. Gokhan Egilmez
6. Serkan Gumus
7. Murat Kucukvar
8. David A. Wood

Citations in the corpus

• Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting (2016, methodology): “The third method (termed IFT-3 here) uses the same overall methodology as IFS-1, but replaces the entropy computation with an adaption of that proposed by Ye (2010).”
• Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis (2013, background): “Introduction Correlation is one of the most broadly applied indices in many fields and also an important measure in data analysis and classification, pattern recognition, decision making and so on [1–6].”
• Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method (2014, methodology): “To determine weights of phases and indicators, exact model of entropy weights in IFS is used [41,42].”